All entries for Partners
New partnership: parson becomes consultancy partner for PoolParty
parson has become consulting partner for semantic technologies for the PoolParty Semantic Suite of the Semantic Web Company (SWC). parson now has exclusive access to the resources of the PoolParty Semantic Suite, SWC's world-leading semantic middleware product. more...
Webinar: Is everything AI? A reality check on the use of artificial intelligence in chatbots, customer portals, and knowledge management
AI has undergone remarkable development in recent years. Especially in the areas of customer support and knowledge management, AI has the potential to make processes more efficient and improve the user experience. But what does this look like in practice? What approaches are there and what are the potential hurdles in implementing AI tools?
Learn more about this and more in our webinar on September 12, 2024 from 10:00 - 11:00 a.m. with our experts Roman Senger, Channel Sales Manager at Empolis, and Ulrike Parson, CEO of parson AG. more...
Danfoss goes iiRDS – The journey continues. Partner presentation by Holger Thater (Danfoss) and Frank Ralf (parson) at NORDIC TechKomm 2024
At the NORDIC TechKomm 2024, which takes place from September 18 to 19 in Copenhagen, Denmark, Holger Thater (Danfoss) and Frank Ralf (parson) will present the continuation of our joint iiRDS project: "Danfoss goes iiRDS – Moving to a standard-based metadata model – the journey continues". more...
Adobe DITAWORLD 2024
Three days packed with sessions: Adobe DITAWORLD 2024 features the world's leading experts in marketing and technical communication, content strategy, content management, content translation, content delivery, and Information 4.0. more...
Prompt Engineering - How do I tell the AI? Helle Hannken-Illjes and Lukas Jetzig at gdslive 2024
Prompt engineering is a relatively new discipline that deals with the development and optimization of prompts. Prompts are structured requests, for example to an AI chatbot such as ChatGPT. Since the quality of results from generative AI is difficult to predict, prompt engineering is used to optimize the structure and style of responses. more...